Triple
T21710269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfe Alvia |
E535883
|
entity |
| Predicate | serviceBrandOf |
P34842
|
FINISHED |
| Object | Renfe long-distance services |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Renfe long-distance services | Statement: [Renfe Alvia, serviceBrandOf, Renfe long-distance services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceBrandOf Context triple: [Renfe Alvia, serviceBrandOf, Renfe long-distance services]
-
A.
serviceBrand
chosen
Indicates that one entity is the brand under which a particular service is offered or marketed by another entity.
-
B.
operatorBrandNameFor
Indicates that a given brand name is used as the commercial or public-facing name for a particular operator.
-
C.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
-
D.
servicePatternOf
Indicates that one entity is the service pattern (e.g., schedule, routing, or operational configuration) that defines or characterizes how another service-related entity operates.
-
E.
serviceBrandColor
Indicates the association between a service and the color used to represent its brand identity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5333c8481909d729fb3bc3c9bc5 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.